Split and process image segments and layers.
Project description
ImageLayers
Installation
There are a variety of ways to install this project.
From Github
$ git clone https://github.com/GrandMoff100/ImageLayers
$ cd ImageLayers
$ python setup.py install
From PyPI
$ pip install imagelayers
Usage
This project provides two classes, ImageLayer, and LayeredImage.
Example
from PIL import Image
with Image.open('image.png') as f:
img = LayeredImage(f)
i = 0
for layer in img.layersbyedge(): # layer is an instance of `ImageLayer`
layer.save(f'layer{i}.png')
i += 1
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ImageLayers-0.4.0.tar.gz
(3.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ImageLayers-0.4.0.tar.gz.
File metadata
- Download URL: ImageLayers-0.4.0.tar.gz
- Upload date:
- Size: 3.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.8.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.8.0 tqdm/4.59.0 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c344fb2215e96eca087e8fb5b648a8593f8307a63ef02700d9a606f36d956467
|
|
| MD5 |
8273b0152a953b3a2193add3ae7fde48
|
|
| BLAKE2b-256 |
ffb2e4353ab6190eb0d38fe44d7db921f2e5fed3d210de006947ec631c7a51d2
|
File details
Details for the file ImageLayers-0.4.0-py3-none-any.whl.
File metadata
- Download URL: ImageLayers-0.4.0-py3-none-any.whl
- Upload date:
- Size: 4.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.8.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.8.0 tqdm/4.59.0 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
815cdbc2f77f49f9f4aa17ed98dbd277bd7dbfb8599e9029ef16daf3f4a36ded
|
|
| MD5 |
5768b6be2c463e2116c73d5f921b92b7
|
|
| BLAKE2b-256 |
ff34820f329e0928982531ab9628d199867694ceb3d9397bc792ab4d5d55be01
|